In-depth analysis of the SXT project: Microsoft empowerment + sub-second ZK technology + endorsement from ecological giants, reconstructing the trust layer of Web3 data 🚀
One, Project Background and Goals
Project Positioning:
SXT (Space and Time) is a Web3 native decentralized data platform based on zero-knowledge proof (ZK) technology, aimed at reconstructing blockchain data infrastructure through a verifiable computation layer, solving the trust and efficiency issues of integrating on-chain and off-chain data. The project was co-founded by industry veterans Nate Holiday, Scott Dykstra (Teradata alumni), and Jay White (former math assistant professor at Dortmund University), with a core team possessing deep technical backgrounds.
Core Objectives:
Building a decentralized hybrid transaction/analysis (HTAP) data warehouse, supporting high-throughput OLTP memory caching and GPU-accelerated OLAP analysis.
Achieving trusted interaction between on-chain and off-chain data through zero-knowledge proof technology (such as SQL Proof), reducing data processing latency to sub-second.
Promoting deep integration of Web3 with enterprise-level scenarios, serving high-value sectors such as finance, DeFi, and gaming.
Two, Market Situation
Industry Positioning:
SXT focuses on Web3 data layer infrastructure, competing with existing data indexing platforms such as Graph and Covalent, but breaking through with the following differentiated advantages:
Technical Barriers: A verifiable computation layer based on ZK technology, solving the bottleneck of data trustworthiness and scalability.
Ecological Compatibility: Pre-integrating mainstream chain data such as Ethereum, Bitcoin, and Polygon, supporting cross-chain data interaction.
Enterprise-Level Collaboration: Targeting enterprise data on-chain needs through integration with Microsoft Azure cloud services.
Market Size:
The global blockchain data infrastructure market is expected to surpass $5 billion by 2025, driven mainly by enterprise-level demand (such as compliance audits, supply chain traceability) and DeFi data interaction demands.
Three, Resources and Supporting Partners
Strategic Investment:
Microsoft M12: Strategic investment of $20 million to promote deep integration of SXT with Azure cloud services, supporting enterprise-level data on-chain.
Chainlink: Collaborating to develop trusted data feeds, enhancing on-chain data accuracy.
Matter Labs (zkSync): Exploring the synergy between ZK-Rollup and verifiable computation.
Technical Ecosystem:
Open Source Community: Open-sourcing the Sub-Second ZK Prover code on GitHub to attract developers to co-build the ecosystem.
Enterprise Cooperation: Integrated with multiple financial institutions and Web3 applications (such as AI trading platforms, decentralized exchanges).
Four, Token Model and Distribution
Token Economic Model:
Total Supply: 1 billion SXT (maximum supply).
Allocation Mechanism:
51.7%: Ecological Contributors (developers, node operators, data providers).
28.0%: Community Rewards (airdrops, staking incentives, developer grants).
15.0%: Strategic Investors (Microsoft, Chainlink, etc.).
5.3%: Team and Advisors (locked for 24 months).
Inflation Design:
Initial annual inflation rate controlled within 3%, dynamically adjusted through transaction fee destruction and ecological contributor rewards.
Long-Term Goal: Achieve deflation through the expansion of ecological application scenarios (such as data subscriptions, AI model training).
Distribution Mechanism:
Liquidity Mining: Users participate in Launchpool by staking BNB, FDUSD, and USDC to earn SXT rewards.
Ecological Incentives: Developers earn token rewards by submitting data pipelines and optimizing ZK circuits.
Airdrop Plan: Airdrops targeting early testnet users and active on-chain addresses.
Five, Core Advantage Analysis
1. Microsoft Support: The cornerstone of trust for enterprise-level data on-chain.
Technical Integration: SXT has integrated with Azure cloud services, allowing enterprise users to directly access SXT's ZK verification services through Azure Marketplace, lowering the technical threshold for data on-chain.
Compliance Endorsement: Microsoft's participation provides enterprise-level security compliance certification for SXT, enhancing cooperation trust with financial institutions and government projects.
Market Channels: Quickly reach high-value industry clients such as finance and healthcare through Microsoft's global enterprise sales network.
2. Sub-second ZK Co-processor: Disruptive performance breakthrough
Technical Principles:
SQL Proof: SQL query verification technology based on zero-knowledge proof, capable of completing million-row data analysis in 1 second, over 100 times faster than traditional ZK co-processors (like zkVM).
GPU Acceleration: Achieving sub-second latency through hardware optimization such as NVIDIA T4, supporting real-time DeFi trading and AI model inference.
Application Scenarios:
DeFi: Real-time verification of on-chain price oracle data to prevent flash loan attacks.
Gaming: Validating player behavior data to implement anti-cheating mechanisms.
AI: Training machine learning models on-chain while protecting data privacy.
3. Trusted by Prominent Companies: Building ecological barriers
Capital Endorsement: Investments from top institutions such as Microsoft, Chainlink, and Framework Ventures, forming a market trust loop.
Enterprise-Level Implementation:
Finance: Providing on-chain trading audit services for compliant exchanges.
Supply Chain: Collaborating with Microsoft Azure to build a trusted traceability chain for multinational enterprises.
AI: Collaborating with AI startups to develop an on-chain federated learning platform, allowing model training without data leaving its domain.
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